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Inferring recombination patterns in African populations.

Authors :
van Eeden, Gerald
van Eeden, Gerald
Uren, Caitlin
Möller, Marlo
Henn, Brenna M
van Eeden, Gerald
van Eeden, Gerald
Uren, Caitlin
Möller, Marlo
Henn, Brenna M
Source :
Human molecular genetics; vol 30, iss R1, R11-R16; 0964-6906
Publication Year :
2021

Abstract

Although several high-resolution recombination maps exist for European-descent populations, the recombination landscape of African populations remains relatively understudied. Given that there is high genetic divergence among groups in Africa, it is possible that recombination hotspots also diverge significantly. Both limitations and opportunities exist for developing recombination maps for these populations. In this review, we discuss various recombination inference methods, and the strengths and weaknesses of these methods in analyzing recombination in African-descent populations. Furthermore, we provide a decision tree and recommendations for which inference method to use in various research contexts. Establishing an appropriate methodology for recombination rate inference in a particular study will improve the accuracy of various downstream analyses including but not limited to local ancestry inference, haplotype phasing, fine-mapping of GWAS loci and genome assemblies.

Details

Database :
OAIster
Journal :
Human molecular genetics; vol 30, iss R1, R11-R16; 0964-6906
Notes :
Human molecular genetics vol 30, iss R1, R11-R16 0964-6906
Publication Type :
Electronic Resource
Accession number :
edsoai.on1367429983
Document Type :
Electronic Resource